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The global machine learning market is growing at a rapid pace and is expected to surpass $100 billion by 2026. Looking further ahead, it is projected to reach $309.68 billion by 2032, growing at a CAGR of 30.5% (Fortune Business Insights). This growth reflects how fast businesses are adopting AI to sharpen operations and improve decision-making.
But with so many firms offering ML consulting services, it’s not easy to know which partner can truly deliver. In this article, we explain what machine learning consulting companies do, how they support businesses, and present the top 10 firms leading the market in 2026.
What Is a Machine Learning Consulting Company?
A machine learning consulting company is a professional services firm that helps organizations design, build, and apply machine learning solutions to real business problems. These companies bring together data scientists, engineers, and industry experts to turn raw data into reliable insights, automated systems, and production-ready models. Many machine learning consulting companies also provide broader AI consulting services to align ML initiatives with long-term business strategies.
By applying machine learning, consulting firms help businesses optimize operations, improve decision-making, enhance customer experiences, and uncover new revenue opportunities. Their role is to bridge advanced research and business-ready implementation, ensuring measurable value from AI investments.
What Does a Machine Learning Consultant Do?
A machine learning consultant helps organizations decide what to build with machine learning, how to build it, and how to deploy it successfully. Their work includes identifying viable ML use cases, assessing data readiness, and selecting the right models and tools.
They design data pipelines, develop and validate models, and support deployment into production systems like cloud platforms or enterprise software. ML consultants also monitor performance and manage retraining as data changes.
In short, their role is to ensure machine learning solutions are practical, scalable, and deliver measurable business results rather than remaining experimental or theoretical.
How We Selected the Top Machine Learning Consulting Companies
This list is the result of careful research, where we assessed firms based on three critical criteria that define a strong machine learning consulting partner.
- Technical Expertise
We looked for firms that clearly demonstrate advanced machine learning capabilities. Evidence included case studies or service pages highlighting data preprocessing, feature engineering, and model development, as well as more advanced methods like deep learning (CNNs, RNNs, Transformers) and computer vision applications. - Business Alignment
The strongest companies show that they can connect AI projects with business outcomes. We reviewed how they position their services across industries, how scalable their solutions are, and whether they emphasize seamless integration. This includes integration with enterprise software, analytics platforms, cloud infrastructure, APIs, IoT systems, and other digital environments that businesses rely on. - Proven Results
Client impact was a key factor. We considered firms with published case studies, verified reviews on platforms like Clutch, and clear evidence of long-term project success. Where possible, we also looked for mentions of ongoing monitoring, retraining, or MLOps practices to show that results are sustained over time.
We differentiated between general consulting firms that offer ML as part of broader advisory services and machine learning consulting companies with hands-on implementation expertise. This list focuses on providers that combine ML consulting with delivery across the full lifecycle, from data engineering to deployment and optimization.
Top Machine Learning Consulting Firms in 2026
Below is our list of the top machine learning consulting companies in 2026. Each firm has demonstrated the ability to design, deploy, and scale ML solutions that address real business needs. Use this to compare leading providers and find the right fit for your organization.
Scopic
Scopic is a global software development company that also stands out as a trusted machine learning consulting partner. With 20 years in the market and over 1,000 completed projects, Scopic combines deep technical expertise with AI innovation to build AI-driven software, custom applications, and intelligent automation systems. Their team of 250+ specialists works across six continents, bringing a global perspective to every project.
Industries:
- Healthcare
- Education
- Manufacturing
- Media & Entertainment
- Real Estate
- eCommerce
- Blockchain
Key Features
- Specialization in machine learning consulting, including deep learning, data science, and computer vision
- Focus on custom AI solutions tailored to industry-specific challenges
- Expertise in cloud-based ML deployments and scalable integration with enterprise systems
- Emphasis on secure, compliant solutions for sensitive sectors like healthcare (HIPAA, SOC 2 Type I)
- Global team structure enabling cross-timezone collaboration on complex ML projects
Other Services:
- Custom Software Development
- Web Development
- Mobile App Development
- Cloud Consulting
Rating:
4.9 / 5 (based on 61 verified reviews)
HatchWorks AI
Founded in 2016 and headquartered in Atlanta, HatchWorks AI positions itself as an AI and data transformation partner. The company focuses on building AI-native solutions and guiding organizations through every stage of their AI journey, ensuring strategy alignment and IP ownership. With a team of 250+ professionals, HatchWorks helps clients unlock the value of data through scalable, business-driven AI solutions.
Industries:
- Healthcare
- Financial Services
- Telecommunications
- Gaming
- Retail
Key Features:
- Delivery of AI-native solutions with integrated consulting and end-to-end development
- Strong presence in healthcare and financial services
- Emphasis on IP protection and business-focused outcomes
Other Services:
- Custom Software Development
- UX/UI Design
- IT Staff Augmentation
Rating:
4.9 / 5 (based on 28 verified reviews)
NineTwoThree
Founded in 2013 and based in Danvers, MA, NineTwoThree AI Studio is a US-based ML consulting service provider known for rapid, ROI-focused delivery. The firm has completed 160+ projects for 80+ clients, with a process designed to move from validation to production in months instead of years.
Industries:
- Consumer Products & Services
- Manufacturing
- Business Services
- GPS, Navigation & GIS
Key Features:
- Specialization in AI product development, including multi-agent systems and enterprise integrations
- Elite teams of PhD AI scientists and senior engineers
Other Services:
- AI Development
- Generative AI
- AI Agents
- Custom Software Development
- UX/UI Design
- Web Development
Rating:
4.8 / 5 (based on 38 verified reviews)
Tkxel
Founded in 2008 and headquartered in Reston, VA, Tkxel is a US-based software innovation company and recognized ML consulting partner, working with startups and Fortune 500 enterprises. With more than a decade of experience, the firm delivers AI consulting and development services alongside full-cycle digital solutions tailored to complex business needs.
Industries:
- Information Technology
- eCommerce
- Education
- Financial Services
- Hospitality & Leisure
- Healthcare
Key Features:
- Strong capabilities in ML consulting, applied data science, and custom AI development
- Experience delivering scalable solutions across enterprise and startup environments
- Competitive pricing with proven reliability and client satisfaction
Other Services:
- AI Agent Development
- Generative AI Development
- Application Development (Mobile & Web)
- Custom Software Development
- UI/UX Design
- DevOps and Cybersecurity
Rating:
4.8 / 5 (based on 43 verified reviews)
Valletta.Software
Founded in 2009 and headquartered in Malta, Valletta.Software is an AI-powered software development company. The firm embeds AI and machine learning into every stage of the product lifecycle, from prototyping to deployment, helping startups and enterprises accelerate delivery and scale AI-native products.
Industries:
- Information Technology
Key Features:
- Expertise in machine learning solutions, including LLM-powered assistants, RAG pipelines, and predictive analyzers
- Strong capability in data-driven applications such as smart dashboards and fraud detection systems
- Flexible engagement models, from ML consulting and audits to full AI product teams
Other Services:
- IT Staff Augmentation
- Mobile App Development
- Web Development
- DevOps Managed Services
- Custom Software Development
- UX/UI Design
Rating:
4.9 / 5 (based on 47 verified reviews)
BlueLabel
Founded in 2009 and based in New York, BlueLabel specializes in custom-built machine learning solutions. The firm works with clients such as Brinks, Mayo Clinic, and Koch to design hybrid human-AI workflows, build AI-infused tools, and automate complex business processes.
Industries:
- Business Services
- Education
- Energy & Natural Resources
- Financial Services
- Media
- Healthcare
- Real Estate
- eCommerce
Key Features:
- Specialization in generative AI solutions for enterprise-scale needs
- Proven expertise in hybrid human-AI workflows that enhance productivity
- Development of multi-agent AI systems beyond off-the-shelf capabilities
Other Services:
- AI Consulting
- AI Development
- Mobile App Development
- Product Design
- Web Design
Rating
4.5 / 5 (based on 67 verified reviews)
Neoteric
Founded in 2005 and based in Gdańsk, Poland, Neoteric is a technology partner specializing in ML consulting, generative AI, and custom software solutions. With 300+ projects delivered across five continents, the firm applies a proven process that combines product workshops, UX/UI design, and development to help clients innovate and scale.
Industries:
- Automotive
- Manufacturing
- Education
- Information Technology
Key Features:
- Generative AI expertise with practical use of GPT models in business applications
- Experience in predictive algorithms and recommender systems
- Integrated consulting model that links validation workshops, UX/UI design, and AI development
Other Services:
- Web Development
- UI/UX Design
- Product Design Workshops
- Custom Software Development
Rating:
4.8 / 5 (based on 52 verified reviews)
Orases
Founded in 2000 and headquartered in Frederick, MD, Orases is a custom software development and AI consulting company. With over two decades of experience, the firm blends deep industry expertise with AI-driven development to solve complex challenges and deliver measurable business outcomes.
Industries:
- Manufacturing
- Non-profit
- Retail
- Supply Chain, Logistics, and Transport
Key Features:
- Strong focus on AI consulting and AI-enabled development practices
- Expertise in modernizing legacy systems and building scalable, secure applications
- Business-first approach ensuring AI solutions are practical, ROI-driven, and aligned with client goals
Other Services:
- AI Development
- Web App Development
- Mobile App Development
- UI/UX Design
- Data Strategy & Analytics
- System Integration & Modernization
Rating:
4.7 / 5 (based on 69 verified reviews)
Abto Software
Founded in 2007 and headquartered in L’viv, Ukraine, Abto Software is a full-cycle engineering company with a strong focus on AI and machine learning. With 200+ long-term clients across North America and the EU, Abto is recognized globally for its expertise in computer vision and enterprise-grade ML solutions.
Industries:
- Healthcare
- Government
- Fintech
- Military & Defense
- Construction & Real Estate
- Manufacturing
- Security, Automotive & Transportation
Key Features:
- One of the largest Computer Vision AI departments in Eastern Europe, specializing in video analytics and data extraction
- Proven expertise in ML-driven Intelligent Transportation Systems (ITS) and Advanced Driver Assistance Systems (ADAS)
- Recognized as a Top AI & Cognitive Computing company on Clutch and GoodFirms
Other Services:
- Custom Software Development
- Low/No Code Development
- Web Development
- Mobile App Development
- Application Testing
- IT Staff Augmentation
- DevOps Managed Services
Rating:
4.8 / 5 (based on 20 verified reviews)
fxis.ai
Founded in 2015 and headquartered in Ahmedabad, India, fxis.ai is an AI-first engineering team that has positioned itself as a pioneer among machine learning consulting companies, with custom LLM, automation, and deep learning expertise. With nearly a decade of experience in AI, long before the current hype cycle, the firm builds production-ready platforms and intelligent automation tools that deliver measurable business outcomes.
Industries:
- Business Services
- Consumer Products & Services
- Financial Services
- Gambling
- Gaming
Key Features:
- Expertise in custom LLMs, agentic workflows, and private knowledge engines
- Strong engineering focus with deep learning and intelligent automation services
- Proven consulting approach that ties every AI and ML initiative to clear business goals
Other Services:
- Custom Software Development
- Web Development
- IT Managed Services
- IT Staff Augmentation
Rating:
4.8 / 5 (based on 48 verified reviews)
How to Choose the Right Machine Learning Consulting Company (5 Tips)
Not every provider that calls itself a machine learning consulting company can deliver results in practice. To separate the true experts from the rest, focus on these five hard checks:
- Proven experience with production systems: Many firms can prototype; far fewer can take ML to production, keep it running, and retrain models as data changes. Always ask for examples of production-scale deployments.
- Strength in data engineering: ML fails more often because of messy data than bad models. A good consulting firm should demonstrate mastery of pipelines, integration, and preprocessing, not just algorithms.
- Transparency in process and ownership: You should own the code, data, and IP. The firm should be clear about timelines, costs, and what happens after handoff. Hidden dependencies or black-box models are red flags.
- Domain understanding: Strong ML consultants don’t just know algorithms; they understand how machine learning applies to your industry’s regulations, workflows, and operational constraints. Without this context, even technically sound models struggle to gain adoption.
- Long-term support (MLOps): If a firm doesn’t talk about monitoring, retraining, and scaling, expect your model to decay. Ongoing support is non-negotiable.
Choose a consulting partner that demonstrates these consistently, and you’ll avoid stalled projects and wasted budgets.
Pick Your Partner
The demand for machine learning consulting companies will only continue to rise as more businesses look for ways to automate, predict, and compete with data. Choosing the right partner ensures your projects don’t stall at proof-of-concept but deliver measurable business impact.
The firms listed here represent some of the most capable ML consultants in the market today. Each brings unique strengths in applying AI and machine learning consulting services to real-world challenges.
Ready to work with a machine learning consulting company that ships products? Scopic’s team can help you design, build, and deploy ML solutions.
Frequently Asked Questions
How is a machine learning consulting company different from a general consulting firm?
General consulting firms often include machine learning as part of broader advisory services, focusing on strategy and recommendations. Machine learning consulting companies specialize in hands-on implementation, owning the full ML lifecycle from data engineering and model development to deployment and ongoing optimization.
How do I evaluate a machine learning consulting company?
Strong ML consulting companies demonstrate experience with production deployments, robust data engineering practices, and post-launch support such as monitoring and retraining. Verified case studies, clear IP ownership, and industry-specific expertise are key indicators of quality.
What should I ask a machine learning consulting firm before hiring?
Ask how they handle data readiness, whether models are deployed to production, who owns the code and models, and how performance is maintained over time. Firms that can’t clearly explain these areas often stop at prototypes.
ML consulting vs. building an in-house data science team: which is better?
ML consulting is typically faster and lower risk for companies without mature data teams, offering immediate access to specialized expertise. In-house teams are better suited for long-term, core ML capabilities once systems and processes are established.
How long does a machine learning project usually take?
Timelines vary by data quality and scope. Some ML projects reach production in a few months, while complex initiatives involving large datasets, integrations, and compliance requirements can take longer.
About Machine Learning Consulting Companies: The 10 Best Firms in 2026
This guide was authored by Mikheil Kandaurishvili and reviewed by Assia Belmokhtar, SEO Lead at Scopic.
Scopic provides quality and informative content, powered by our deep-rooted expertise in software development. Our team of content writers and experts has great knowledge in the latest software technologies, allowing them to break down even the most complex topics in the field. They also know how to tackle topics from a wide range of industries, capture their essence, and deliver valuable content across all digital platforms.
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